Movies Profiling Report

Dataset statistics

Number of variables	21
Number of observations	10866
Missing cells	13434
Missing cells (%)	5.9%
Duplicate rows	1
Duplicate rows (%)	< 0.1%
Total size in memory	1.7 MiB
Average record size in memory	168.0 B

Variable types

Numeric	10
Text	10
DateTime	1

Alerts

Dataset has 1 (< 0.1%) duplicate rows	Duplicates
`id` is highly overall correlated with `release_year`	High correlation
`popularity` is highly overall correlated with `budget` and 4 other fields	High correlation
`budget` is highly overall correlated with `popularity` and 4 other fields	High correlation
`revenue` is highly overall correlated with `popularity` and 4 other fields	High correlation
`vote_count` is highly overall correlated with `popularity` and 4 other fields	High correlation
`release_year` is highly overall correlated with `id`	High correlation
`budget_adj` is highly overall correlated with `popularity` and 4 other fields	High correlation
`revenue_adj` is highly overall correlated with `popularity` and 4 other fields	High correlation
`homepage` has 7930 (73.0%) missing values	Missing
`tagline` has 2824 (26.0%) missing values	Missing
`keywords` has 1493 (13.7%) missing values	Missing
`production_companies` has 1030 (9.5%) missing values	Missing
`budget` has 5696 (52.4%) zeros	Zeros
`revenue` has 6016 (55.4%) zeros	Zeros
`budget_adj` has 5696 (52.4%) zeros	Zeros
`revenue_adj` has 6016 (55.4%) zeros	Zeros

Reproduction

Analysis started	2023-10-11 23:31:49.173566
Analysis finished	2023-10-11 23:31:56.240453
Duration	7.07 seconds
Software version	ydata-profiling vv4.5.1
Download configuration	config.json

id
Real number (ℝ)

HIGH CORRELATION

Distinct	10865
Distinct (%)	> 99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	66064.177

Minimum	5
Maximum	417859
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	5
5-th percentile	1221
Q1	10596.25
median	20669
Q3	75610
95-th percentile	288556
Maximum	417859
Range	417854
Interquartile range (IQR)	65013.75

Descriptive statistics

Standard deviation	92130.137
Coefficient of variation (CV)	1.3945551
Kurtosis	1.781869
Mean	66064.177
Median Absolute Deviation (MAD)	15121.5
Skewness	1.7322939
Sum	7.1785335 × 10⁸
Variance	8.4879621 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
42194	2	< 0.1%
135397	1	< 0.1%
9534	1	< 0.1%
70476	1	< 0.1%
44345	1	< 0.1%
16358	1	< 0.1%
20304	1	< 0.1%
20544	1	< 0.1%
18442	1	< 0.1%
49870	1	< 0.1%
Other values (10855)	10855	99.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
5	1	< 0.1%
6	1	< 0.1%
11	1	< 0.1%
12	1	< 0.1%
13	1	< 0.1%
14	1	< 0.1%
16	1	< 0.1%
17	1	< 0.1%
18	1	< 0.1%
20	1	< 0.1%

Value	Count	Frequency (%)
417859	1	< 0.1%
414419	1	< 0.1%
409696	1	< 0.1%
395883	1	< 0.1%
395560	1	< 0.1%
386501	1	< 0.1%
382517	1	< 0.1%
378373	1	< 0.1%
376823	1	< 0.1%
374430	1	< 0.1%

imdb_id
Text

Distinct	10855
Distinct (%)	> 99.9%
Missing	10
Missing (%)	0.1%
Memory size	85.0 KiB

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	97704
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10854 ?
Unique (%)	> 99.9%

Sample

1st row	tt0369610
2nd row	tt1392190
3rd row	tt2908446
4th row	tt2488496
5th row	tt2820852

Value	Count	Frequency (%)
tt0411951	2	< 0.1%
tt3659388	1	< 0.1%
tt1798684	1	< 0.1%
tt1964418	1	< 0.1%
tt1951266	1	< 0.1%
tt2908446	1	< 0.1%
tt2488496	1	< 0.1%
tt2820852	1	< 0.1%
tt1663202	1	< 0.1%
tt1340138	1	< 0.1%
Other values (10845)	10845	99.9%

Most occurring characters

Value	Count	Frequency (%)
t	21712	22.2%
0	15108	15.5%
1	10229	10.5%
2	7559	7.7%
3	6667	6.8%
4	6546	6.7%
8	6328	6.5%
7	6087	6.2%
9	6077	6.2%
6	5822	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	75992	77.8%
Lowercase Letter	21712	22.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	15108	19.9%
1	10229	13.5%
2	7559	9.9%
3	6667	8.8%
4	6546	8.6%
8	6328	8.3%
7	6087	8.0%
9	6077	8.0%
6	5822	7.7%
5	5569	7.3%

Lowercase Letter

Value	Count	Frequency (%)
t	21712	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	75992	77.8%
Latin	21712	22.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	15108	19.9%
1	10229	13.5%
2	7559	9.9%
3	6667	8.8%
4	6546	8.6%
8	6328	8.3%
7	6087	8.0%
9	6077	8.0%
6	5822	7.7%
5	5569	7.3%

Latin

Value	Count	Frequency (%)
t	21712	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97704	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	21712	22.2%
0	15108	15.5%
1	10229	10.5%
2	7559	7.7%
3	6667	6.8%
4	6546	6.7%
8	6328	6.5%
7	6087	6.2%
9	6077	6.2%
6	5822	6.0%

popularity
Real number (ℝ)

HIGH CORRELATION

Distinct	10814
Distinct (%)	99.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.64644095

Minimum	6.5 × 10^-5
Maximum	32.985763
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	6.5 × 10^-5
5-th percentile	0.06425225
Q1	0.20758275
median	0.3838555
Q3	0.713817
95-th percentile	2.0466017
Maximum	32.985763
Range	32.985698
Interquartile range (IQR)	0.50623425

Descriptive statistics

Standard deviation	1.0001849
Coefficient of variation (CV)	1.5472178
Kurtosis	210.99813
Mean	0.64644095
Median Absolute Deviation (MAD)	0.2153785
Skewness	9.8763313
Sum	7024.2274
Variance	1.0003699
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.028143	2	< 0.1%
0.144297	2	< 0.1%
0.158021	2	< 0.1%
0.430191	2	< 0.1%
0.210808	2	< 0.1%
0.22758	2	< 0.1%
0.623706	2	< 0.1%
0.109305	2	< 0.1%
0.247926	2	< 0.1%
0.326556	2	< 0.1%
Other values (10804)	10846	99.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.5 × 10^-5	1	< 0.1%
0.000188	1	< 0.1%
0.00062	1	< 0.1%
0.000973	1	< 0.1%
0.001115	1	< 0.1%
0.001117	1	< 0.1%
0.001315	1	< 0.1%
0.001317	1	< 0.1%
0.001349	1	< 0.1%
0.001372	1	< 0.1%

Value	Count	Frequency (%)
32.985763	1	< 0.1%
28.419936	1	< 0.1%
24.949134	1	< 0.1%
14.311205	1	< 0.1%
13.112507	1	< 0.1%
12.971027	1	< 0.1%
12.037933	1	< 0.1%
11.422751	1	< 0.1%
11.173104	1	< 0.1%
10.739009	1	< 0.1%

budget
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	557
Distinct (%)	5.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14625701

Minimum	0
Maximum	4.25 × 10⁸
Zeros	5696
Zeros (%)	52.4%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	15000000
95-th percentile	75000000
Maximum	4.25 × 10⁸
Range	4.25 × 10⁸
Interquartile range (IQR)	15000000

Descriptive statistics

Standard deviation	30913214
Coefficient of variation (CV)	2.1136227
Kurtosis	19.269436
Mean	14625701
Median Absolute Deviation (MAD)	0
Skewness	3.7172371
Sum	1.5892287 × 10¹¹
Variance	9.5562679 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5696	52.4%
20000000	190	1.7%
15000000	183	1.7%
25000000	178	1.6%
10000000	176	1.6%
30000000	165	1.5%
5000000	141	1.3%
40000000	134	1.2%
35000000	128	1.2%
12000000	120	1.1%
Other values (547)	3755	34.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5696	52.4%
1	4	< 0.1%
2	1	< 0.1%
3	3	< 0.1%
5	1	< 0.1%
6	1	< 0.1%
8	3	< 0.1%
10	6	0.1%
11	1	< 0.1%
12	2	< 0.1%

Value	Count	Frequency (%)
425000000	1	< 0.1%
380000000	1	< 0.1%
300000000	1	< 0.1%
280000000	1	< 0.1%
270000000	1	< 0.1%
260000000	2	< 0.1%
258000000	1	< 0.1%
255000000	1	< 0.1%
250000000	7	0.1%
245000000	1	< 0.1%

revenue
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	4702
Distinct (%)	43.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	39823320

Minimum	0
Maximum	2.7815058 × 10⁹
Zeros	6016
Zeros (%)	55.4%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	24000000
95-th percentile	2.1367216 × 10⁸
Maximum	2.7815058 × 10⁹
Range	2.7815058 × 10⁹
Interquartile range (IQR)	24000000

Descriptive statistics

Standard deviation	1.1700349 × 10⁸
Coefficient of variation (CV)	2.9380646
Kurtosis	73.168489
Mean	39823320
Median Absolute Deviation (MAD)	0
Skewness	6.6583972
Sum	4.3272019 × 10¹¹
Variance	1.3689816 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6016	55.4%
12000000	10	0.1%
10000000	8	0.1%
11000000	7	0.1%
6000000	6	0.1%
2000000	6	0.1%
5000000	6	0.1%
30000000	5	< 0.1%
20000000	5	< 0.1%
14000000	5	< 0.1%
Other values (4692)	4792	44.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6016	55.4%
2	2	< 0.1%
3	3	< 0.1%
5	2	< 0.1%
6	2	< 0.1%
9	2	< 0.1%
10	1	< 0.1%
11	3	< 0.1%
12	1	< 0.1%
13	2	< 0.1%

Value	Count	Frequency (%)
2781505847	1	< 0.1%
2068178225	1	< 0.1%
1845034188	1	< 0.1%
1519557910	1	< 0.1%
1513528810	1	< 0.1%
1506249360	1	< 0.1%
1405035767	1	< 0.1%
1327817822	1	< 0.1%
1274219009	1	< 0.1%
1215439994	1	< 0.1%

original_title
Text

Distinct	10571
Distinct (%)	97.3%
Missing	0
Missing (%)	0.0%
Memory size	85.0 KiB

Length

Max length	104
Median length	70
Mean length	16.002209
Min length	1

Characters and Unicode

Total characters	173880
Distinct characters	164
Distinct categories	19 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10294 ?
Unique (%)	94.7%

Sample

1st row	Jurassic World
2nd row	Mad Max: Fury Road
3rd row	Insurgent
4th row	Star Wars: The Force Awakens
5th row	Furious 7

Value	Count	Frequency (%)
the	3279	10.6%
of	969	3.1%
a	386	1.2%
in	327	1.1%
and	317	1.0%
to	227	0.7%
2	226	0.7%
	211	0.7%
man	148	0.5%
for	113	0.4%
Other values (8859)	24843	80.0%

Most occurring characters

Value	Count	Frequency (%)
	20178	11.6%
e	17617	10.1%
a	10758	6.2%
o	10239	5.9%
r	9356	5.4%
n	9343	5.4%
i	9062	5.2%
t	8414	4.8%
s	6857	3.9%
h	6463	3.7%
Other values (154)	65593	37.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	122010	70.2%
Uppercase Letter	27184	15.6%
Space Separator	20195	11.6%
Other Punctuation	2612	1.5%
Decimal Number	1140	0.7%
Dash Punctuation	212	0.1%
Modifier Symbol	114	0.1%
Other Symbol	101	0.1%
Currency Symbol	78	< 0.1%
Other Number	71	< 0.1%
Other values (9)	163	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	17617	14.4%
a	10758	8.8%
o	10239	8.4%
r	9356	7.7%
n	9343	7.7%
i	9062	7.4%
t	8414	6.9%
s	6857	5.6%
h	6463	5.3%
l	5845	4.8%
Other values (35)	28056	23.0%

Uppercase Letter

Value	Count	Frequency (%)
T	3616	13.3%
S	2228	8.2%
B	1815	6.7%
M	1783	6.6%
C	1613	5.9%
D	1579	5.8%
A	1541	5.7%
L	1281	4.7%
H	1244	4.6%
P	1197	4.4%
Other values (27)	9287	34.2%

Other Punctuation

Value	Count	Frequency (%)
:	1097	42.0%
'	560	21.4%
.	368	14.1%
,	154	5.9%
&	153	5.9%
!	123	4.7%
?	41	1.6%
/	29	1.1%
¡	14	0.5%
•	12	0.5%
Other values (14)	61	2.3%

Decimal Number

Value	Count	Frequency (%)
2	327	28.7%
3	172	15.1%
1	172	15.1%
0	167	14.6%
4	81	7.1%
5	67	5.9%
9	48	4.2%
7	42	3.7%
6	35	3.1%
8	29	2.5%

Currency Symbol

Value	Count	Frequency (%)
€	29	37.2%
¤	18	23.1%
¢	12	15.4%
£	10	12.8%
¥	5	6.4%
$	4	5.1%

Other Number

Value	Count	Frequency (%)
¹	22	31.0%
³	14	19.7%
¼	14	19.7%
½	9	12.7%
²	7	9.9%
¾	5	7.0%

Modifier Symbol

Value	Count	Frequency (%)
¸	63	55.3%
¨	24	21.1%
´	14	12.3%
˜	9	7.9%
¯	4	3.5%

Other Symbol

Value	Count	Frequency (%)
©	60	59.4%
™	20	19.8%
°	11	10.9%
¦	7	6.9%
®	3	3.0%

Math Symbol

Value	Count	Frequency (%)
±	9	36.0%
¬	8	32.0%
×	5	20.0%
+	3	12.0%

Final Punctuation

Value	Count	Frequency (%)
»	8	38.1%
”	7	33.3%
’	3	14.3%
›	3	14.3%

Initial Punctuation

Value	Count	Frequency (%)
‘	7	29.2%
‹	7	29.2%
«	5	20.8%
“	5	20.8%

Dash Punctuation

Value	Count	Frequency (%)
-	206	97.2%
—	5	2.4%
–	1	0.5%

Open Punctuation

Value	Count	Frequency (%)
(	16	43.2%
‚	14	37.8%
„	7	18.9%

Space Separator

Value	Count	Frequency (%)
	20178	99.9%
	17	0.1%

Other Letter

Value	Count	Frequency (%)
ª	13	61.9%
º	8	38.1%

Close Punctuation

Value	Count	Frequency (%)
)	16	100.0%

Modifier Letter

Value	Count	Frequency (%)
ˆ	11	100.0%

Format

Value	Count	Frequency (%)
	6	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	149210	85.8%
Common	24670	14.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	17617	11.8%
a	10758	7.2%
o	10239	6.9%
r	9356	6.3%
n	9343	6.3%
i	9062	6.1%
t	8414	5.6%
s	6857	4.6%
h	6463	4.3%
l	5845	3.9%
Other values (73)	55256	37.0%

Common

Value	Count	Frequency (%)
	20178	81.8%
:	1097	4.4%
'	560	2.3%
.	368	1.5%
2	327	1.3%
-	206	0.8%
3	172	0.7%
1	172	0.7%
0	167	0.7%
,	154	0.6%
Other values (71)	1269	5.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172797	99.4%
None	915	0.5%
Punctuation	99	0.1%
Currency Symbols	29	< 0.1%
Letterlike Symbols	20	< 0.1%
Modifier Letters	20	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	20178	11.7%
e	17617	10.2%
a	10758	6.2%
o	10239	5.9%
r	9356	5.4%
n	9343	5.4%
i	9062	5.2%
t	8414	4.9%
s	6857	4.0%
h	6463	3.7%
Other values (73)	64510	37.3%

None

Value	Count	Frequency (%)
Ã	162	17.7%
¸	63	6.9%
©	60	6.6%
à	50	5.5%
ì	31	3.4%
¨	24	2.6%
¹	22	2.4%
å	21	2.3%
¤	18	2.0%
ã	17	1.9%
Other values (52)	447	48.9%

Currency Symbols

Value	Count	Frequency (%)
€	29	100.0%

Letterlike Symbols

Value	Count	Frequency (%)
™	20	100.0%

Punctuation

Value	Count	Frequency (%)
‚	14	14.1%
•	12	12.1%
‰	11	11.1%
‡	8	8.1%
‘	7	7.1%
…	7	7.1%
‹	7	7.1%
„	7	7.1%
”	7	7.1%
“	5	5.1%
Other values (5)	14	14.1%

Modifier Letters

Value	Count	Frequency (%)
ˆ	11	55.0%
˜	9	45.0%

cast
Text

Distinct	10719
Distinct (%)	99.3%
Missing	76
Missing (%)	0.7%
Memory size	85.0 KiB

Length

Max length	110
Median length	94
Mean length	67.872567
Min length	7

Characters and Unicode

Total characters	732345
Distinct characters	126
Distinct categories	16 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10666 ?
Unique (%)	98.9%

Sample

1st row	Chris Pratt\|Bryce Dallas Howard\|Irrfan Khan\|Vincent D'Onofrio\|Nick Robinson
2nd row	Tom Hardy\|Charlize Theron\|Hugh Keays-Byrne\|Nicholas Hoult\|Josh Helman
3rd row	Shailene Woodley\|Theo James\|Kate Winslet\|Ansel Elgort\|Miles Teller
4th row	Harrison Ford\|Mark Hamill\|Carrie Fisher\|Adam Driver\|Daisy Ridley
5th row	Vin Diesel\|Paul Walker\|Jason Statham\|Michelle Rodriguez\|Dwayne Johnson

Value	Count	Frequency (%)
michael	285	0.4%
john	231	0.3%
de	209	0.3%
james	177	0.3%
robert	158	0.2%
tom	154	0.2%
lee	139	0.2%
jason	132	0.2%
van	131	0.2%
david	128	0.2%
Other values (46644)	64967	97.4%

Most occurring characters

Value	Count	Frequency (%)
e	65672	9.0%
a	61498	8.4%
	55922	7.6%
n	50507	6.9%
r	44415	6.1%
i	42812	5.8%
\|	41783	5.7%
o	37725	5.2%
l	35122	4.8%
t	24677	3.4%
Other values (116)	272212	37.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	517877	70.7%
Uppercase Letter	112598	15.4%
Space Separator	55935	7.6%
Math Symbol	41835	5.7%
Other Punctuation	2123	0.3%
Dash Punctuation	811	0.1%
Other Symbol	591	0.1%
Format	130	< 0.1%
Modifier Symbol	119	< 0.1%
Other Number	107	< 0.1%
Other values (6)	219	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	65672	12.7%
a	61498	11.9%
n	50507	9.8%
r	44415	8.6%
i	42812	8.3%
o	37725	7.3%
l	35122	6.8%
t	24677	4.8%
s	24214	4.7%
h	19623	3.8%
Other values (24)	111612	21.6%

Uppercase Letter

Value	Count	Frequency (%)
M	9756	8.7%
J	9025	8.0%
S	8852	7.9%
C	8638	7.7%
B	8209	7.3%
D	7012	6.2%
R	6503	5.8%
A	6314	5.6%
L	5342	4.7%
H	5002	4.4%
Other values (24)	37945	33.7%

Other Punctuation

Value	Count	Frequency (%)
.	1300	61.2%
'	481	22.7%
¡	147	6.9%
,	49	2.3%
¶	43	2.0%
§	36	1.7%
‡	28	1.3%
…	16	0.8%
‰	10	0.5%
"	6	0.3%
Other values (5)	7	0.3%

Other Number

Value	Count	Frequency (%)
³	50	46.7%
¼	49	45.8%
²	4	3.7%
¾	2	1.9%
¹	1	0.9%
½	1	0.9%

Other Symbol

Value	Count	Frequency (%)
©	567	95.9%
™	11	1.9%
®	9	1.5%
°	3	0.5%
¦	1	0.2%

Modifier Symbol

Value	Count	Frequency (%)
¨	53	44.5%
¯	28	23.5%
¸	24	20.2%
´	13	10.9%
˜	1	0.8%

Currency Symbol

Value	Count	Frequency (%)
¥	39	54.2%
¤	20	27.8%
£	6	8.3%
€	4	5.6%
¢	3	4.2%

Initial Punctuation

Value	Count	Frequency (%)
«	56	87.5%
“	6	9.4%
‹	1	1.6%
‘	1	1.6%

Math Symbol

Value	Count	Frequency (%)
\|	41783	99.9%
±	50	0.1%
¬	2	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	804	99.1%
–	6	0.7%
—	1	0.1%

Decimal Number

Value	Count	Frequency (%)
0	12	48.0%
5	12	48.0%
2	1	4.0%

Space Separator

Value	Count	Frequency (%)
	55922	> 99.9%
	13	< 0.1%

Other Letter

Value	Count	Frequency (%)
º	30	93.8%
ª	2	6.2%

Final Punctuation

Value	Count	Frequency (%)
»	11	73.3%
›	4	26.7%

Open Punctuation

Value	Count	Frequency (%)
„	7	63.6%
‚	4	36.4%

Format

Value	Count	Frequency (%)
	130	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	630506	86.1%
Common	101839	13.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	65672	10.4%
a	61498	9.8%
n	50507	8.0%
r	44415	7.0%
i	42812	6.8%
o	37725	6.0%
l	35122	5.6%
t	24677	3.9%
s	24214	3.8%
h	19623	3.1%
Other values (59)	224241	35.6%

Common

Value	Count	Frequency (%)
	55922	54.9%
\|	41783	41.0%
.	1300	1.3%
-	804	0.8%
©	567	0.6%
'	481	0.5%
¡	147	0.1%
	130	0.1%
«	56	0.1%
¨	53	0.1%
Other values (47)	596	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	729305	99.6%
None	2939	0.4%
Punctuation	85	< 0.1%
Letterlike Symbols	11	< 0.1%
Currency Symbols	4	< 0.1%
Modifier Letters	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	65672	9.0%
a	61498	8.4%
	55922	7.7%
n	50507	6.9%
r	44415	6.1%
i	42812	5.9%
\|	41783	5.7%
o	37725	5.2%
l	35122	4.8%
t	24677	3.4%
Other values (54)	269172	36.9%

None

Value	Count	Frequency (%)
Ã	1409	47.9%
©	567	19.3%
¡	147	5.0%
	130	4.4%
«	56	1.9%
¨	53	1.8%
±	50	1.7%
³	50	1.7%
¼	49	1.7%
Ä	48	1.6%
Other values (37)	380	12.9%

Punctuation

Value	Count	Frequency (%)
‡	28	32.9%
…	16	18.8%
‰	10	11.8%
„	7	8.2%
“	6	7.1%
–	6	7.1%
‚	4	4.7%
›	4	4.7%
‹	1	1.2%
—	1	1.2%
Other values (2)	2	2.4%

Letterlike Symbols

Value	Count	Frequency (%)
™	11	100.0%

Currency Symbols

Value	Count	Frequency (%)
€	4	100.0%

Modifier Letters

Value	Count	Frequency (%)
˜	1	100.0%

homepage
Text

MISSING

Distinct	2896
Distinct (%)	98.6%
Missing	7930
Missing (%)	73.0%
Memory size	85.0 KiB

Length

Max length	242
Median length	89
Mean length	37.146117
Min length	13

Characters and Unicode

Total characters	109061
Distinct characters	83
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2868 ?
Unique (%)	97.7%

Sample

1st row	http://www.jurassicworld.com/
2nd row	http://www.madmaxmovie.com/
3rd row	http://www.thedivergentseries.movie/#insurgent
4th row	http://www.starwars.com/films/star-wars-episode-vii
5th row	http://www.furious7.com/

Value	Count	Frequency (%)
http://www.missionimpossible.com	5	0.2%
http://www.thehungergames.movie	4	0.1%
http://www.transformersmovie.com	4	0.1%
http://phantasm.com	4	0.1%
http://www.kungfupanda.com	4	0.1%
http://www.georgecarlin.com	3	0.1%
http://www.lordoftherings.net	3	0.1%
http://www.americanreunionmovie.com	3	0.1%
http://www.thehobbit.com	3	0.1%
http://www.jeffdunham.com	3	0.1%
Other values (2878)	2900	98.8%

Most occurring characters

Value	Count	Frequency (%)
t	9865	9.0%
/	9843	9.0%
e	7545	6.9%
w	7528	6.9%
o	7522	6.9%
m	6035	5.5%
.	5844	5.4%
h	5380	4.9%
i	5336	4.9%
c	4475	4.1%
Other values (73)	39688	36.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	86844	79.6%
Other Punctuation	18787	17.2%
Dash Punctuation	1265	1.2%
Decimal Number	1247	1.1%
Uppercase Letter	648	0.6%
Connector Punctuation	176	0.2%
Math Symbol	81	0.1%
Open Punctuation	6	< 0.1%
Close Punctuation	6	< 0.1%
Currency Symbol	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	9865	11.4%
e	7545	8.7%
w	7528	8.7%
o	7522	8.7%
m	6035	6.9%
h	5380	6.2%
i	5336	6.1%
c	4475	5.2%
p	4174	4.8%
a	3960	4.6%
Other values (17)	25024	28.8%

Uppercase Letter

Value	Count	Frequency (%)
T	61	9.4%
S	59	9.1%
M	54	8.3%
A	46	7.1%
E	40	6.2%
F	36	5.6%
B	35	5.4%
D	34	5.2%
H	28	4.3%
C	27	4.2%
Other values (17)	228	35.2%

Other Punctuation

Value	Count	Frequency (%)
/	9843	52.4%
.	5844	31.1%
:	2941	15.7%
?	59	0.3%
#	40	0.2%
%	26	0.1%
&	18	0.1%
!	8	< 0.1%
,	6	< 0.1%
'	2	< 0.1%

Decimal Number

Value	Count	Frequency (%)
2	240	19.2%
0	199	16.0%
1	196	15.7%
3	141	11.3%
4	91	7.3%
8	82	6.6%
9	78	6.3%
7	75	6.0%
5	74	5.9%
6	71	5.7%

Math Symbol

Value	Count	Frequency (%)
=	76	93.8%
+	5	6.2%

Open Punctuation

Value	Count	Frequency (%)
(	5	83.3%
{	1	16.7%

Close Punctuation

Value	Count	Frequency (%)
)	5	83.3%
}	1	16.7%

Dash Punctuation

Value	Count	Frequency (%)
-	1265	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	176	100.0%

Currency Symbol

Value	Count	Frequency (%)
€	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87492	80.2%
Common	21569	19.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	9865	11.3%
e	7545	8.6%
w	7528	8.6%
o	7522	8.6%
m	6035	6.9%
h	5380	6.1%
i	5336	6.1%
c	4475	5.1%
p	4174	4.8%
a	3960	4.5%
Other values (44)	25672	29.3%

Common

Value	Count	Frequency (%)
/	9843	45.6%
.	5844	27.1%
:	2941	13.6%
-	1265	5.9%
2	240	1.1%
0	199	0.9%
1	196	0.9%
_	176	0.8%
3	141	0.7%
4	91	0.4%
Other values (19)	633	2.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	109058	> 99.9%
None	2	< 0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	9865	9.0%
/	9843	9.0%
e	7545	6.9%
w	7528	6.9%
o	7522	6.9%
m	6035	5.5%
.	5844	5.4%
h	5380	4.9%
i	5336	4.9%
c	4475	4.1%
Other values (70)	39685	36.4%

None

Value	Count	Frequency (%)
â	1	50.0%
Ž	1	50.0%

Currency Symbols

Value	Count	Frequency (%)
€	1	100.0%

director
Text

Distinct	5067
Distinct (%)	46.8%
Missing	44
Missing (%)	0.4%
Memory size	85.0 KiB

Length

Max length	533
Median length	169
Mean length	14.558122
Min length	2

Characters and Unicode

Total characters	157548
Distinct characters	96
Distinct categories	18 ?
Distinct scripts	2 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3217 ?
Unique (%)	29.7%

Sample

1st row	Colin Trevorrow
2nd row	George Miller
3rd row	Robert Schwentke
4th row	J.J. Abrams
5th row	James Wan

Value	Count	Frequency (%)
john	436	1.8%
michael	308	1.3%
david	301	1.3%
robert	212	0.9%
peter	201	0.8%
james	162	0.7%
richard	159	0.7%
paul	144	0.6%
mark	110	0.5%
lee	107	0.5%
Other values (6202)	21600	91.0%

Most occurring characters

Value	Count	Frequency (%)
e	14631	9.3%
	12934	8.2%
a	12669	8.0%
n	11046	7.0%
r	10688	6.8%
o	9160	5.8%
i	9108	5.8%
l	7511	4.8%
t	5475	3.5%
s	5207	3.3%
Other values (86)	59119	37.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	116535	74.0%
Uppercase Letter	25718	16.3%
Space Separator	12936	8.2%
Math Symbol	1088	0.7%
Other Punctuation	839	0.5%
Dash Punctuation	178	0.1%
Other Symbol	118	0.1%
Format	35	< 0.1%
Other Number	32	< 0.1%
Modifier Symbol	28	< 0.1%
Other values (8)	41	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
S	2357	9.2%
J	2208	8.6%
M	2207	8.6%
R	1800	7.0%
B	1686	6.6%
C	1612	6.3%
D	1484	5.8%
A	1433	5.6%
G	1264	4.9%
L	1223	4.8%
Other values (20)	8444	32.8%

Lowercase Letter

Value	Count	Frequency (%)
e	14631	12.6%
a	12669	10.9%
n	11046	9.5%
r	10688	9.2%
o	9160	7.9%
i	9108	7.8%
l	7511	6.4%
t	5475	4.7%
s	5207	4.5%
h	4545	3.9%
Other values (16)	26495	22.7%

Other Punctuation

Value	Count	Frequency (%)
.	645	76.9%
¡	65	7.7%
'	52	6.2%
¶	30	3.6%
,	18	2.1%
§	15	1.8%
‰	5	0.6%
‡	5	0.6%
…	4	0.5%

Modifier Symbol

Value	Count	Frequency (%)
¨	12	42.9%
´	9	32.1%
¸	5	17.9%
¯	2	7.1%

Math Symbol

Value	Count	Frequency (%)
\|	1070	98.3%
±	17	1.6%
¬	1	0.1%

Other Symbol

Value	Count	Frequency (%)
©	112	94.9%
¦	5	4.2%
™	1	0.8%

Currency Symbol

Value	Count	Frequency (%)
¥	11	57.9%
¤	7	36.8%
€	1	5.3%

Space Separator

Value	Count	Frequency (%)
	12934	> 99.9%
	2	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	177	99.4%
–	1	0.6%

Other Number

Value	Count	Frequency (%)
³	27	84.4%
¼	5	15.6%

Open Punctuation

Value	Count	Frequency (%)
‚	4	80.0%
(	1	20.0%

Other Letter

Value	Count	Frequency (%)
º	3	75.0%
ª	1	25.0%

Initial Punctuation

Value	Count	Frequency (%)
«	3	75.0%
‘	1	25.0%

Final Punctuation

Value	Count	Frequency (%)
»	3	75.0%
›	1	25.0%

Format

Value	Count	Frequency (%)
	35	100.0%

Control

Value	Count	Frequency (%)
	3	100.0%

Decimal Number

Value	Count	Frequency (%)
9	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	142257	90.3%
Common	15291	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	14631	10.3%
a	12669	8.9%
n	11046	7.8%
r	10688	7.5%
o	9160	6.4%
i	9108	6.4%
l	7511	5.3%
t	5475	3.8%
s	5207	3.7%
h	4545	3.2%
Other values (48)	52217	36.7%

Common

Value	Count	Frequency (%)
	12934	84.6%
\|	1070	7.0%
.	645	4.2%
-	177	1.2%
©	112	0.7%
¡	65	0.4%
'	52	0.3%
	35	0.2%
¶	30	0.2%
³	27	0.2%
Other values (28)	144	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	156746	99.5%
None	779	0.5%
Punctuation	21	< 0.1%
Letterlike Symbols	1	< 0.1%
Currency Symbols	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	14631	9.3%
	12934	8.3%
a	12669	8.1%
n	11046	7.0%
r	10688	6.8%
o	9160	5.8%
i	9108	5.8%
l	7511	4.8%
t	5475	3.5%
s	5207	3.3%
Other values (52)	58317	37.2%

None

Value	Count	Frequency (%)
Ã	377	48.4%
©	112	14.4%
¡	65	8.3%
	35	4.5%
¶	30	3.9%
³	27	3.5%
±	17	2.2%
Å	15	1.9%
§	15	1.9%
Ä	14	1.8%
Other values (15)	72	9.2%

Punctuation

Value	Count	Frequency (%)
‰	5	23.8%
‡	5	23.8%
…	4	19.0%
‚	4	19.0%
–	1	4.8%
›	1	4.8%
‘	1	4.8%

Letterlike Symbols

Value	Count	Frequency (%)
™	1	100.0%

Currency Symbols

Value	Count	Frequency (%)
€	1	100.0%

tagline
Text

MISSING

Distinct	7997
Distinct (%)	99.4%
Missing	2824
Missing (%)	26.0%
Memory size	85.0 KiB

Length

Max length	286
Median length	166
Mean length	44.174459
Min length	1

Characters and Unicode

Total characters	355251
Distinct characters	126
Distinct categories	16 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7957 ?
Unique (%)	98.9%

Sample

1st row	The park is open.
2nd row	What a Lovely Day.
3rd row	One Choice Can Destroy You
4th row	Every generation has a story.
5th row	Vengeance Hits Home

Value	Count	Frequency (%)
the	3989	6.1%
a	2410	3.7%
to	1460	2.2%
of	1335	2.0%
is	1247	1.9%
you	1095	1.7%
in	951	1.5%
and	804	1.2%
one	619	0.9%
it	611	0.9%
Other values (7019)	50857	77.8%

Most occurring characters

Value	Count	Frequency (%)
	57392	16.2%
e	36795	10.4%
t	22060	6.2%
o	21674	6.1%
a	18810	5.3%
n	17991	5.1%
i	17300	4.9%
r	16801	4.7%
s	16059	4.5%
h	14126	4.0%
Other values (116)	116243	32.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	258603	72.8%
Space Separator	57393	16.2%
Uppercase Letter	21147	6.0%
Other Punctuation	16563	4.7%
Decimal Number	950	0.3%
Dash Punctuation	364	0.1%
Currency Symbol	96	< 0.1%
Other Symbol	83	< 0.1%
Open Punctuation	17	< 0.1%
Close Punctuation	15	< 0.1%
Other values (6)	20	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	36795	14.2%
t	22060	8.5%
o	21674	8.4%
a	18810	7.3%
n	17991	7.0%
i	17300	6.7%
r	16801	6.5%
s	16059	6.2%
h	14126	5.5%
l	11024	4.3%
Other values (26)	65963	25.5%

Uppercase Letter

Value	Count	Frequency (%)
T	3179	15.0%
A	1962	9.3%
S	1542	7.3%
H	1327	6.3%
I	1262	6.0%
W	1211	5.7%
B	1038	4.9%
F	899	4.3%
N	896	4.2%
E	889	4.2%
Other values (25)	6942	32.8%

Other Punctuation

Value	Count	Frequency (%)
.	10962	66.2%
'	2278	13.8%
,	1587	9.6%
!	1041	6.3%
?	481	2.9%
"	78	0.5%
:	40	0.2%
*	25	0.2%
&	22	0.1%
#	16	0.1%
Other values (8)	33	0.2%

Decimal Number

Value	Count	Frequency (%)
0	266	28.0%
1	183	19.3%
2	109	11.5%
3	80	8.4%
9	76	8.0%
4	54	5.7%
5	54	5.7%
6	49	5.2%
7	45	4.7%
8	34	3.6%

Open Punctuation

Value	Count	Frequency (%)
(	13	76.5%
[	2	11.8%
„	1	5.9%
‚	1	5.9%

Modifier Symbol

Value	Count	Frequency (%)
˜	1	25.0%
¯	1	25.0%
´	1	25.0%
`	1	25.0%

Currency Symbol

Value	Count	Frequency (%)
€	88	91.7%
$	7	7.3%
¤	1	1.0%

Other Symbol

Value	Count	Frequency (%)
™	48	57.8%
¦	34	41.0%
©	1	1.2%

Math Symbol

Value	Count	Frequency (%)
=	3	42.9%
+	2	28.6%
\|	2	28.6%

Space Separator

Value	Count	Frequency (%)
	57392	> 99.9%
	1	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	13	86.7%
]	2	13.3%

Other Number

Value	Count	Frequency (%)
½	2	66.7%
²	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	364	100.0%

Modifier Letter

Value	Count	Frequency (%)
ˆ	3	100.0%

Initial Punctuation

Value	Count	Frequency (%)
“	2	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	279750	78.7%
Common	75501	21.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	36795	13.2%
t	22060	7.9%
o	21674	7.7%
a	18810	6.7%
n	17991	6.4%
i	17300	6.2%
r	16801	6.0%
s	16059	5.7%
h	14126	5.0%
l	11024	3.9%
Other values (61)	87110	31.1%

Common

Value	Count	Frequency (%)
	57392	76.0%
.	10962	14.5%
'	2278	3.0%
,	1587	2.1%
!	1041	1.4%
?	481	0.6%
-	364	0.5%
0	266	0.4%
1	183	0.2%
2	109	0.1%
Other values (45)	838	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	354937	99.9%
None	166	< 0.1%
Currency Symbols	88	< 0.1%
Letterlike Symbols	48	< 0.1%
Punctuation	8	< 0.1%
Modifier Letters	4	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	57392	16.2%
e	36795	10.4%
t	22060	6.2%
o	21674	6.1%
a	18810	5.3%
n	17991	5.1%
i	17300	4.9%
r	16801	4.7%
s	16059	4.5%
h	14126	4.0%
Other values (78)	115929	32.7%

Currency Symbols

Value	Count	Frequency (%)
€	88	100.0%

None

Value	Count	Frequency (%)
â	86	51.8%
¦	34	20.5%
Â	5	3.0%
ã	4	2.4%
œ	3	1.8%
å	3	1.8%
ƒ	3	1.8%
Š	2	1.2%
½	2	1.2%
É	2	1.2%
Other values (18)	22	13.3%

Letterlike Symbols

Value	Count	Frequency (%)
™	48	100.0%

Modifier Letters

Value	Count	Frequency (%)
ˆ	3	75.0%
˜	1	25.0%

Punctuation

Value	Count	Frequency (%)
‰	2	25.0%
“	2	25.0%
‡	1	12.5%
„	1	12.5%
…	1	12.5%
‚	1	12.5%

keywords
Text

MISSING

Distinct	8804
Distinct (%)	93.9%
Missing	1493
Missing (%)	13.7%
Memory size	85.0 KiB

Length

Max length	131
Median length	88
Mean length	41.972474
Min length	2

Characters and Unicode

Total characters	393408
Distinct characters	87
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	5 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8673 ?
Unique (%)	92.5%

Sample

1st row	monster\|dna\|tyrannosaurus rex\|velociraptor\|island
2nd row	future\|chase\|post-apocalyptic\|dystopia\|australia
3rd row	based on novel\|revolution\|dystopia\|sequel\|dystopic future
4th row	android\|spaceship\|jedi\|space opera\|3d
5th row	car race\|speed\|revenge\|suspense\|car

Value	Count	Frequency (%)
of	599	2.2%
on	546	2.0%
director	357	1.3%
film	231	0.9%
and	231	0.9%
new	203	0.8%
in	190	0.7%
the	177	0.7%
brother	164	0.6%
based	163	0.6%
Other values (16457)	24006	89.4%

Most occurring characters

Value	Count	Frequency (%)
e	37321	9.5%
i	29650	7.5%
a	29180	7.4%
\|	28077	7.1%
r	27999	7.1%
o	25158	6.4%
n	24736	6.3%
t	23340	5.9%
s	22514	5.7%
	17513	4.5%
Other values (77)	127920	32.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	346243	88.0%
Math Symbol	28078	7.1%
Space Separator	17536	4.5%
Dash Punctuation	570	0.1%
Other Punctuation	423	0.1%
Decimal Number	366	0.1%
Uppercase Letter	73	< 0.1%
Open Punctuation	30	< 0.1%
Close Punctuation	28	< 0.1%
Other Symbol	21	< 0.1%
Other values (7)	40	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	37321	10.8%
i	29650	8.6%
a	29180	8.4%
r	27999	8.1%
o	25158	7.3%
n	24736	7.1%
t	23340	6.7%
s	22514	6.5%
l	17116	4.9%
c	13962	4.0%
Other values (27)	95267	27.5%

Other Punctuation

Value	Count	Frequency (%)
.	246	58.2%
'	156	36.9%
¶	7	1.7%
§	3	0.7%
•	3	0.7%
&	2	0.5%
¡	2	0.5%
,	1	0.2%
…	1	0.2%
†	1	0.2%

Decimal Number

Value	Count	Frequency (%)
1	82	22.4%
0	70	19.1%
9	68	18.6%
7	59	16.1%
3	41	11.2%
2	14	3.8%
5	12	3.3%
6	12	3.3%
8	4	1.1%
4	4	1.1%

Uppercase Letter

Value	Count	Frequency (%)
Ã	42	57.5%
Â	23	31.5%
Ÿ	5	6.8%
Î	2	2.7%
Š	1	1.4%

Other Symbol

Value	Count	Frequency (%)
©	17	81.0%
¦	3	14.3%
°	1	4.8%

Currency Symbol

Value	Count	Frequency (%)
¤	6	46.2%
€	5	38.5%
¥	2	15.4%

Modifier Symbol

Value	Count	Frequency (%)
´	2	33.3%
˜	2	33.3%
¸	2	33.3%

Math Symbol

Value	Count	Frequency (%)
\|	28077	> 99.9%
¬	1	< 0.1%

Space Separator

Value	Count	Frequency (%)
	17513	99.9%
	23	0.1%

Open Punctuation

Value	Count	Frequency (%)
(	28	93.3%
‚	2	6.7%

Initial Punctuation

Value	Count	Frequency (%)
“	6	85.7%
«	1	14.3%

Other Number

Value	Count	Frequency (%)
¼	3	75.0%
³	1	25.0%

Dash Punctuation

Value	Count	Frequency (%)
-	570	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	28	100.0%

Modifier Letter

Value	Count	Frequency (%)
ˆ	4	100.0%

Other Letter

Value	Count	Frequency (%)
º	3	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	346319	88.0%
Common	47089	12.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
\|	28077	59.6%
	17513	37.2%
-	570	1.2%
.	246	0.5%
'	156	0.3%
1	82	0.2%
0	70	0.1%
9	68	0.1%
7	59	0.1%
3	41	0.1%
Other values (34)	207	0.4%

Latin

Value	Count	Frequency (%)
e	37321	10.8%
i	29650	8.6%
a	29180	8.4%
r	27999	8.1%
o	25158	7.3%
n	24736	7.1%
t	23340	6.7%
s	22514	6.5%
l	17116	4.9%
c	13962	4.0%
Other values (33)	95343	27.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	393202	99.9%
None	182	< 0.1%
Punctuation	13	< 0.1%
Modifier Letters	6	< 0.1%
Currency Symbols	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	37321	9.5%
i	29650	7.5%
a	29180	7.4%
\|	28077	7.1%
r	27999	7.1%
o	25158	6.4%
n	24736	6.3%
t	23340	5.9%
s	22514	5.7%
	17513	4.5%
Other values (35)	127714	32.5%

None

Value	Count	Frequency (%)
Ã	42	23.1%
Â	23	12.6%
	23	12.6%
©	17	9.3%
å	8	4.4%
¶	7	3.8%
¤	6	3.3%
Ÿ	5	2.7%
â	5	2.7%
¦	3	1.6%
Other values (24)	43	23.6%

Punctuation

Value	Count	Frequency (%)
“	6	46.2%
•	3	23.1%
‚	2	15.4%
…	1	7.7%
†	1	7.7%

Currency Symbols

Value	Count	Frequency (%)
€	5	100.0%

Modifier Letters

Value	Count	Frequency (%)
ˆ	4	66.7%
˜	2	33.3%

overview
Text

Distinct	10847
Distinct (%)	99.9%
Missing	4
Missing (%)	< 0.1%
Memory size	85.0 KiB

Length

Max length	1000
Median length	738
Mean length	307.03756
Min length	13

Characters and Unicode

Total characters	3335042
Distinct characters	144
Distinct categories	20 ?
Distinct scripts	2 ?
Distinct blocks	6 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10843 ?
Unique (%)	99.8%

Sample

1st row	Twenty-two years after the events of Jurassic Park, Isla Nublar now features a fully functioning dinosaur theme park, Jurassic World, as originally envisioned by John Hammond.
2nd row	An apocalyptic story set in the furthest reaches of our planet, in a stark desert landscape where humanity is broken, and most everyone is crazed fighting for the necessities of life. Within this world exist two rebels on the run who just might be able to restore order. There's Max, a man of action and a man of few words, who seeks peace of mind following the loss of his wife and child in the aftermath of the chaos. And Furiosa, a woman of action and a woman who believes her path to survival may be achieved if she can make it across the desert back to her childhood homeland.
3rd row	Beatrice Prior must confront her inner demons and continue her fight against a powerful alliance which threatens to tear her society apart.
4th row	Thirty years after defeating the Galactic Empire, Han Solo and his allies face a new threat from the evil Kylo Ren and his army of Stormtroopers.
5th row	Deckard Shaw seeks revenge against Dominic Toretto and his family for his comatose brother.

Value	Count	Frequency (%)
the	31655	5.6%
a	23240	4.1%
to	17549	3.1%
and	16956	3.0%
of	15597	2.7%
in	10160	1.8%
his	8607	1.5%
is	7865	1.4%
with	5514	1.0%
her	4793	0.8%
Other values (38551)	425509	75.0%

Most occurring characters

Value	Count	Frequency (%)
	556977	16.7%
e	320395	9.6%
t	219691	6.6%
a	215612	6.5%
i	194998	5.8%
o	191213	5.7%
n	191104	5.7%
s	177760	5.3%
r	174774	5.2%
h	139782	4.2%
Other values (134)	952736	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2591110	77.7%
Space Separator	557010	16.7%
Uppercase Letter	90606	2.7%
Other Punctuation	70522	2.1%
Dash Punctuation	9126	0.3%
Decimal Number	8887	0.3%
Open Punctuation	1981	0.1%
Close Punctuation	1977	0.1%
Currency Symbol	1893	0.1%
Other Symbol	1256	< 0.1%
Other values (10)	674	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	10241	11.3%
T	7658	8.5%
S	6972	7.7%
B	6009	6.6%
C	5663	6.3%
M	5455	6.0%
W	4604	5.1%
H	4191	4.6%
D	4027	4.4%
J	3560	3.9%
Other values (23)	32226	35.6%

Lowercase Letter

Value	Count	Frequency (%)
e	320395	12.4%
t	219691	8.5%
a	215612	8.3%
i	194998	7.5%
o	191213	7.4%
n	191104	7.4%
s	177760	6.9%
r	174774	6.7%
h	139782	5.4%
l	111503	4.3%
Other values (21)	654278	25.3%

Other Punctuation

Value	Count	Frequency (%)
,	30277	42.9%
.	27504	39.0%
'	7736	11.0%
"	2437	3.5%
:	793	1.1%
?	575	0.8%
;	471	0.7%
!	416	0.6%
/	151	0.2%
&	89	0.1%
Other values (11)	73	0.1%

Decimal Number

Value	Count	Frequency (%)
1	2014	22.7%
0	1884	21.2%
9	1229	13.8%
2	987	11.1%
5	508	5.7%
3	489	5.5%
8	477	5.4%
7	463	5.2%
4	430	4.8%
6	406	4.6%

Currency Symbol

Value	Count	Frequency (%)
€	1756	92.8%
$	99	5.2%
¢	15	0.8%
£	12	0.6%
¤	7	0.4%
¥	4	0.2%

Modifier Symbol

Value	Count	Frequency (%)
˜	48	47.1%
¨	30	29.4%
¯	12	11.8%
´	8	7.8%
`	3	2.9%
¸	1	1.0%

Other Number

Value	Count	Frequency (%)
³	11	34.4%
¼	10	31.2%
¹	4	12.5%
²	3	9.4%
¾	2	6.2%
½	2	6.2%

Other Symbol

Value	Count	Frequency (%)
™	883	70.3%
©	283	22.5%
¦	71	5.7%
®	18	1.4%
°	1	0.1%

Final Punctuation

Value	Count	Frequency (%)
”	174	95.1%
»	5	2.7%
’	3	1.6%
›	1	0.5%

Math Symbol

Value	Count	Frequency (%)
±	4	40.0%
¬	3	30.0%
=	2	20.0%
\|	1	10.0%

Open Punctuation

Value	Count	Frequency (%)
(	1967	99.3%
[	10	0.5%
„	4	0.2%

Initial Punctuation

Value	Count	Frequency (%)
“	295	96.7%
«	7	2.3%
‹	3	1.0%

Space Separator

Value	Count	Frequency (%)
	556977	> 99.9%
	33	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	9124	> 99.9%
—	2	< 0.1%

Close Punctuation

Value	Count	Frequency (%)
)	1967	99.5%
]	10	0.5%

Other Letter

Value	Count	Frequency (%)
ª	10	76.9%
º	3	23.1%

Control

Value	Count	Frequency (%)
	13	100.0%

Format

Value	Count	Frequency (%)
	13	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Modifier Letter

Value	Count	Frequency (%)
ˆ	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2681728	80.4%
Common	653314	19.6%

Most frequent character per script

Common

Value	Count	Frequency (%)
	556977	85.3%
,	30277	4.6%
.	27504	4.2%
-	9124	1.4%
'	7736	1.2%
"	2437	0.4%
1	2014	0.3%
(	1967	0.3%
)	1967	0.3%
0	1884	0.3%
Other values (69)	11427	1.7%

Latin

Value	Count	Frequency (%)
e	320395	11.9%
t	219691	8.2%
a	215612	8.0%
i	194998	7.3%
o	191213	7.1%
n	191104	7.1%
s	177760	6.6%
r	174774	6.5%
h	139782	5.2%
l	111503	4.2%
Other values (55)	744896	27.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3328794	99.8%
None	3070	0.1%
Currency Symbols	1756	0.1%
Letterlike Symbols	883	< 0.1%
Punctuation	490	< 0.1%
Modifier Letters	49	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	556977	16.7%
e	320395	9.6%
t	219691	6.6%
a	215612	6.5%
i	194998	5.9%
o	191213	5.7%
n	191104	5.7%
s	177760	5.3%
r	174774	5.3%
h	139782	4.2%
Other values (77)	946488	28.4%

None

Value	Count	Frequency (%)
â	1762	57.4%
Ã	489	15.9%
©	283	9.2%
œ	137	4.5%
¦	71	2.3%
Â	49	1.6%
	33	1.1%
¨	30	1.0%
¡	23	0.7%
®	18	0.6%
Other values (32)	175	5.7%

Currency Symbols

Value	Count	Frequency (%)
€	1756	100.0%

Letterlike Symbols

Value	Count	Frequency (%)
™	883	100.0%

Punctuation

Value	Count	Frequency (%)
“	295	60.2%
”	174	35.5%
„	4	0.8%
‹	3	0.6%
•	3	0.6%
’	3	0.6%
…	2	0.4%
—	2	0.4%
‰	2	0.4%
†	1	0.2%

Modifier Letters

Value	Count	Frequency (%)
˜	48	98.0%
ˆ	1	2.0%

runtime
Real number (ℝ)

Distinct	247
Distinct (%)	2.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	102.07086

Minimum	0
Maximum	900
Zeros	31
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	0
5-th percentile	75
Q1	90
median	99
Q3	111
95-th percentile	139
Maximum	900
Range	900
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	31.381405
Coefficient of variation (CV)	0.30744724
Kurtosis	116.23757
Mean	102.07086
Median Absolute Deviation (MAD)	10
Skewness	6.1037928
Sum	1109102
Variance	984.79258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
90	547	5.0%
95	358	3.3%
100	335	3.1%
93	328	3.0%
97	306	2.8%
96	300	2.8%
91	297	2.7%
94	292	2.7%
98	270	2.5%
92	270	2.5%
Other values (237)	7563	69.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	31	0.3%
2	5	< 0.1%
3	11	0.1%
4	17	0.2%
5	17	0.2%
6	22	0.2%
7	17	0.2%
8	9	0.1%
9	7	0.1%
10	6	0.1%

Value	Count	Frequency (%)
900	1	< 0.1%
877	1	< 0.1%
705	1	< 0.1%
566	1	< 0.1%
561	1	< 0.1%
550	1	< 0.1%
540	1	< 0.1%
501	1	< 0.1%
500	1	< 0.1%
470	1	< 0.1%

genres
Text

Distinct	2039
Distinct (%)	18.8%
Missing	23
Missing (%)	0.2%
Memory size	85.0 KiB

Length

Max length	51
Median length	44
Mean length	18.537121
Min length	3

Characters and Unicode

Total characters	200998
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1225 ?
Unique (%)	11.3%

Sample

1st row	Action\|Adventure\|Science Fiction\|Thriller
2nd row	Action\|Adventure\|Science Fiction\|Thriller
3rd row	Adventure\|Science Fiction\|Thriller
4th row	Action\|Adventure\|Science Fiction\|Fantasy
5th row	Action\|Crime\|Thriller

Value	Count	Frequency (%)
comedy	712	5.8%
drama	712	5.8%
fiction	670	5.5%
documentary	312	2.5%
drama\|romance	289	2.4%
comedy\|drama	280	2.3%
comedy\|romance	268	2.2%
horror\|thriller	259	2.1%
horror	253	2.1%
comedy\|drama\|romance	222	1.8%
Other values (1900)	8263	67.5%

Most occurring characters

Value	Count	Frequency (%)
r	20601	10.2%
e	17185	8.5%
\|	16117	8.0%
a	15786	7.9%
o	14302	7.1%
m	14071	7.0%
i	14064	7.0%
n	11215	5.6%
c	8715	4.3%
t	8530	4.2%
Other values (20)	60412	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	154960	77.1%
Uppercase Letter	28524	14.2%
Math Symbol	16117	8.0%
Space Separator	1397	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	20601	13.3%
e	17185	11.1%
a	15786	10.2%
o	14302	9.2%
m	14071	9.1%
i	14064	9.1%
n	11215	7.2%
c	8715	5.6%
t	8530	5.5%
y	8414	5.4%
Other values (7)	22077	14.2%

Uppercase Letter

Value	Count	Frequency (%)
D	5281	18.5%
C	5148	18.0%
A	4555	16.0%
F	3565	12.5%
T	3075	10.8%
H	1971	6.9%
R	1712	6.0%
M	1385	4.9%
S	1230	4.3%
W	435	1.5%

Math Symbol

Value	Count	Frequency (%)
\|	16117	100.0%

Space Separator

Value	Count	Frequency (%)
	1397	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	183484	91.3%
Common	17514	8.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	20601	11.2%
e	17185	9.4%
a	15786	8.6%
o	14302	7.8%
m	14071	7.7%
i	14064	7.7%
n	11215	6.1%
c	8715	4.7%
t	8530	4.6%
y	8414	4.6%
Other values (18)	50601	27.6%

Common

Value	Count	Frequency (%)
\|	16117	92.0%
	1397	8.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	200998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	20601	10.2%
e	17185	8.5%
\|	16117	8.0%
a	15786	7.9%
o	14302	7.1%
m	14071	7.0%
i	14064	7.0%
n	11215	5.6%
c	8715	4.3%
t	8530	4.2%
Other values (20)	60412	30.1%

production_companies
Text

MISSING

Distinct	7445
Distinct (%)	75.7%
Missing	1030
Missing (%)	9.5%
Memory size	85.0 KiB

Length

Max length	184
Median length	128
Mean length	45.516165
Min length	3

Characters and Unicode

Total characters	447697
Distinct characters	120
Distinct categories	17 ?
Distinct scripts	2 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6850 ?
Unique (%)	69.6%

Sample

1st row	Universal Studios\|Amblin Entertainment\|Legendary Pictures\|Fuji Television Network\|Dentsu
2nd row	Village Roadshow Pictures\|Kennedy Miller Productions
3rd row	Summit Entertainment\|Mandeville Films\|Red Wagon Entertainment\|NeoReel
4th row	Lucasfilm\|Truenorth Productions\|Bad Robot
5th row	Universal Pictures\|Original Film\|Media Rights Capital\|Dentsu\|One Race Films

Value	Count	Frequency (%)
pictures	1880	4.3%
productions	1750	4.0%
films	1571	3.6%
entertainment	1187	2.7%
film	1183	2.7%
universal	512	1.2%
fox	480	1.1%
paramount	442	1.0%
century	421	1.0%
columbia	412	0.9%
Other values (12817)	34206	77.7%

Most occurring characters

Value	Count	Frequency (%)
i	35180	7.9%
	34207	7.6%
e	33390	7.5%
n	31750	7.1%
t	30796	6.9%
r	29487	6.6%
o	26480	5.9%
a	24331	5.4%
s	21969	4.9%
l	15887	3.5%
Other values (110)	164220	36.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	329907	73.7%
Uppercase Letter	63468	14.2%
Space Separator	34213	7.6%
Math Symbol	13544	3.0%
Other Punctuation	2192	0.5%
Decimal Number	1645	0.4%
Dash Punctuation	849	0.2%
Open Punctuation	721	0.2%
Close Punctuation	720	0.2%
Other Symbol	320	0.1%
Other values (7)	118	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	35180	10.7%
e	33390	10.1%
n	31750	9.6%
t	30796	9.3%
r	29487	8.9%
o	26480	8.0%
a	24331	7.4%
s	21969	6.7%
l	15887	4.8%
u	15355	4.7%
Other values (21)	65282	19.8%

Uppercase Letter

Value	Count	Frequency (%)
P	10513	16.6%
F	7597	12.0%
C	5813	9.2%
M	3907	6.2%
E	3880	6.1%
S	3731	5.9%
B	2962	4.7%
T	2804	4.4%
A	2700	4.3%
G	2331	3.7%
Other values (20)	17230	27.1%

Other Punctuation

Value	Count	Frequency (%)
.	1411	64.4%
/	273	12.5%
&	214	9.8%
,	119	5.4%
'	88	4.0%
‰	20	0.9%
¡	18	0.8%
¶	11	0.5%
!	11	0.5%
§	7	0.3%
Other values (10)	20	0.9%

Decimal Number

Value	Count	Frequency (%)
2	418	25.4%
0	401	24.4%
1	204	12.4%
4	170	10.3%
3	145	8.8%
9	83	5.0%
6	69	4.2%
7	63	3.8%
8	49	3.0%
5	43	2.6%

Modifier Symbol

Value	Count	Frequency (%)
¨	8	50.0%
´	3	18.8%
¯	3	18.8%
¸	1	6.2%
˜	1	6.2%

Math Symbol

Value	Count	Frequency (%)
\|	13391	98.9%
+	132	1.0%
±	21	0.2%

Open Punctuation

Value	Count	Frequency (%)
(	719	99.7%
„	1	0.1%
[	1	0.1%

Currency Symbol

Value	Count	Frequency (%)
¤	20	87.0%
¢	2	8.7%
¥	1	4.3%

Space Separator

Value	Count	Frequency (%)
	34207	> 99.9%
	6	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	848	99.9%
–	1	0.1%

Close Punctuation

Value	Count	Frequency (%)
)	719	99.9%
]	1	0.1%

Other Symbol

Value	Count	Frequency (%)
©	314	98.1%
°	6	1.9%

Other Number

Value	Count	Frequency (%)
³	48	90.6%
¼	5	9.4%

Other Letter

Value	Count	Frequency (%)
ª	3	60.0%
º	2	40.0%

Format

Value	Count	Frequency (%)
	18	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Final Punctuation

Value	Count	Frequency (%)
”	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	393377	87.9%
Common	54320	12.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	35180	8.9%
e	33390	8.5%
n	31750	8.1%
t	30796	7.8%
r	29487	7.5%
o	26480	6.7%
a	24331	6.2%
s	21969	5.6%
l	15887	4.0%
u	15355	3.9%
Other values (52)	128752	32.7%

Common

Value	Count	Frequency (%)
	34207	63.0%
\|	13391	24.7%
.	1411	2.6%
-	848	1.6%
)	719	1.3%
(	719	1.3%
2	418	0.8%
0	401	0.7%
©	314	0.6%
/	273	0.5%
Other values (48)	1619	3.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	446644	99.8%
None	1027	0.2%
Punctuation	25	< 0.1%
Modifier Letters	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	35180	7.9%
	34207	7.7%
e	33390	7.5%
n	31750	7.1%
t	30796	6.9%
r	29487	6.6%
o	26480	5.9%
a	24331	5.4%
s	21969	4.9%
l	15887	3.6%
Other values (75)	163167	36.5%

None

Value	Count	Frequency (%)
Ã	514	50.0%
©	314	30.6%
³	48	4.7%
±	21	2.0%
¤	20	1.9%
¡	18	1.8%
	18	1.8%
¶	11	1.1%
¨	8	0.8%
§	7	0.7%
Other values (18)	48	4.7%

Punctuation

Value	Count	Frequency (%)
‰	20	80.0%
–	1	4.0%
•	1	4.0%
”	1	4.0%
„	1	4.0%
…	1	4.0%

Modifier Letters

Value	Count	Frequency (%)
˜	1	100.0%

release_date
Date

Distinct	5909
Distinct (%)	54.4%
Missing	0
Missing (%)	0.0%
Memory size	85.0 KiB

Minimum	1973-01-01 00:00:00
Maximum	2072-12-19 00:00:00

Histogram

Histogram with fixed size bins (bins=50)

vote_count
Real number (ℝ)

HIGH CORRELATION

Distinct	1289
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	217.38975

Minimum	10
Maximum	9767
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	10
5-th percentile	11
Q1	17
median	38
Q3	145.75
95-th percentile	1025.75
Maximum	9767
Range	9757
Interquartile range (IQR)	128.75

Descriptive statistics

Standard deviation	575.61906
Coefficient of variation (CV)	2.6478666
Kurtosis	53.360979
Mean	217.38975
Median Absolute Deviation (MAD)	26
Skewness	6.1773058
Sum	2362157
Variance	331337.3
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10	501	4.6%
11	474	4.4%
12	422	3.9%
13	377	3.5%
14	323	3.0%
15	300	2.8%
16	270	2.5%
17	256	2.4%
18	218	2.0%
19	189	1.7%
Other values (1279)	7536	69.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	501	4.6%
11	474	4.4%
12	422	3.9%
13	377	3.5%
14	323	3.0%
15	300	2.8%
16	270	2.5%
17	256	2.4%
18	218	2.0%
19	189	1.7%

Value	Count	Frequency (%)
9767	1	< 0.1%
8903	1	< 0.1%
8458	1	< 0.1%
8432	1	< 0.1%
7375	1	< 0.1%
7080	1	< 0.1%
6882	1	< 0.1%
6723	1	< 0.1%
6498	1	< 0.1%
6417	1	< 0.1%

vote_average
Real number (ℝ)

Distinct	72
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.9749218

Minimum	1.5
Maximum	9.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	1.5
5-th percentile	4.4
Q1	5.4
median	6
Q3	6.6
95-th percentile	7.4
Maximum	9.2
Range	7.7
Interquartile range (IQR)	1.2

Descriptive statistics

Standard deviation	0.93514182
Coefficient of variation (CV)	0.15651114
Kurtosis	0.54350325
Mean	5.9749218
Median Absolute Deviation (MAD)	0.6
Skewness	-0.43590798
Sum	64923.5
Variance	0.87449021
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
6.1	496	4.6%
6	495	4.6%
5.8	486	4.5%
5.9	473	4.4%
6.2	464	4.3%
6.3	461	4.2%
6.5	457	4.2%
6.4	446	4.1%
5.7	415	3.8%
6.6	413	3.8%
Other values (62)	6260	57.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.5	2	< 0.1%
2	1	< 0.1%
2.1	3	< 0.1%
2.2	3	< 0.1%
2.3	2	< 0.1%
2.4	7	0.1%
2.5	2	< 0.1%
2.6	3	< 0.1%
2.7	3	< 0.1%
2.8	7	0.1%

Value	Count	Frequency (%)
9.2	1	< 0.1%
8.9	1	< 0.1%
8.8	2	< 0.1%
8.7	1	< 0.1%
8.6	1	< 0.1%
8.5	6	0.1%
8.4	10	0.1%
8.3	10	0.1%
8.2	6	0.1%
8.1	16	0.1%

release_year
Real number (ℝ)

HIGH CORRELATION

Distinct	56
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2001.3227

Minimum	1960
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	1960
5-th percentile	1973
Q1	1995
median	2006
Q3	2011
95-th percentile	2015
Maximum	2015
Range	55
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	12.812941
Coefficient of variation (CV)	0.0064022363
Kurtosis	0.80005132
Mean	2001.3227
Median Absolute Deviation (MAD)	7
Skewness	-1.2042543
Sum	21746372
Variance	164.17145
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2014	700	6.4%
2013	659	6.1%
2015	629	5.8%
2012	588	5.4%
2011	540	5.0%
2009	533	4.9%
2008	496	4.6%
2010	490	4.5%
2007	438	4.0%
2006	408	3.8%
Other values (46)	5385	49.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1960	32	0.3%
1961	31	0.3%
1962	32	0.3%
1963	34	0.3%
1964	42	0.4%
1965	35	0.3%
1966	46	0.4%
1967	40	0.4%
1968	39	0.4%
1969	31	0.3%

Value	Count	Frequency (%)
2015	629	5.8%
2014	700	6.4%
2013	659	6.1%
2012	588	5.4%
2011	540	5.0%
2010	490	4.5%
2009	533	4.9%
2008	496	4.6%
2007	438	4.0%
2006	408	3.8%

budget_adj
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	2614
Distinct (%)	24.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17551040

Minimum	0
Maximum	4.25 × 10⁸
Zeros	5696
Zeros (%)	52.4%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	20853251
95-th percentile	89375138
Maximum	4.25 × 10⁸
Range	4.25 × 10⁸
Interquartile range (IQR)	20853251

Descriptive statistics

Standard deviation	34306156
Coefficient of variation (CV)	1.9546509
Kurtosis	13.036952
Mean	17551040
Median Absolute Deviation (MAD)	0
Skewness	3.1149199
Sum	1.907096 × 10¹¹
Variance	1.1769123 × 10¹⁵
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5696	52.4%
10164004.34	17	0.2%
21033371.65	17	0.2%
20000000	16	0.1%
4605455.254	15	0.1%
24234951.06	14	0.1%
33496898.69	14	0.1%
40656017.36	13	0.1%
20328008.68	13	0.1%
26291714.57	13	0.1%
Other values (2604)	5038	46.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	5696	52.4%
0.9210910508	1	< 0.1%
0.9693980426	1	< 0.1%
1.012786634	1	< 0.1%
1.309052847	1	< 0.1%
2.908194128	1	< 0.1%
3	1	< 0.1%
4.519284805	1	< 0.1%
4.605455254	1	< 0.1%
5.006695621	1	< 0.1%

Value	Count	Frequency (%)
425000000	1	< 0.1%
368371256.2	1	< 0.1%
315500574.8	1	< 0.1%
292050672.7	1	< 0.1%
271692064.2	1	< 0.1%
271330494.3	1	< 0.1%
260000000	1	< 0.1%
257599886.7	1	< 0.1%
254100108.5	1	< 0.1%
250419201.7	1	< 0.1%

revenue_adj
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	4840
Distinct (%)	44.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51364363

Minimum	0
Maximum	2.8271238 × 10⁹
Zeros	6016
Zeros (%)	55.4%
Negative	0
Negative (%)	0.0%
Memory size	85.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	33697096
95-th percentile	2.7655444 × 10⁸
Maximum	2.8271238 × 10⁹
Range	2.8271238 × 10⁹
Interquartile range (IQR)	33697096

Descriptive statistics

Standard deviation	1.4463249 × 10⁸
Coefficient of variation (CV)	2.8158138
Kurtosis	63.379908
Mean	51364363
Median Absolute Deviation (MAD)	0
Skewness	6.2512021
Sum	5.5812517 × 10¹¹
Variance	2.0918556 × 10¹⁶
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	6016	55.4%
117753430.8	2	< 0.1%
14389144.83	2	< 0.1%
1000000	2	< 0.1%
29106404.28	2	< 0.1%
31721459	2	< 0.1%
967000	2	< 0.1%
81036423.44	2	< 0.1%
57667591.03	2	< 0.1%
26331569.65	2	< 0.1%
Other values (4830)	4832	44.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	6016	55.4%
2.37070529	1	< 0.1%
2.861933734	1	< 0.1%
3.038359901	1	< 0.1%
5.926763224	1	< 0.1%
6.951083695	1	< 0.1%
8.585801203	1	< 0.1%
9.05681977	1	< 0.1%
9.115079704	1	< 0.1%
10	1	< 0.1%

Value	Count	Frequency (%)
2827123750	1	< 0.1%
2789712242	1	< 0.1%
2506405735	1	< 0.1%
2167324901	1	< 0.1%
1907005842	1	< 0.1%
1902723130	1	< 0.1%
1791694309	1	< 0.1%
1583049536	1	< 0.1%
1574814740	1	< 0.1%
1443191435	1	< 0.1%

Auto

Heatmap
Table

	id	popularity	budget	revenue	runtime	vote_count	vote_average	release_year	budget_adj	revenue_adj
id	1.000	-0.288	-0.330	-0.359	-0.247	-0.275	-0.131	0.691	-0.360	-0.376
popularity	-0.288	1.000	0.568	0.619	0.245	0.780	0.152	0.028	0.562	0.610
budget	-0.330	0.568	1.000	0.708	0.313	0.611	0.066	-0.033	0.994	0.695
revenue	-0.359	0.619	0.708	1.000	0.330	0.682	0.186	-0.088	0.710	0.997
runtime	-0.247	0.245	0.313	0.330	1.000	0.247	0.249	-0.180	0.324	0.334
vote_count	-0.275	0.780	0.611	0.682	0.247	1.000	0.271	0.094	0.604	0.671
vote_average	-0.131	0.152	0.066	0.186	0.249	0.271	1.000	-0.098	0.079	0.193
release_year	0.691	0.028	-0.033	-0.088	-0.180	0.094	-0.098	1.000	-0.084	-0.123
budget_adj	-0.360	0.562	0.994	0.710	0.324	0.604	0.079	-0.084	1.000	0.704
revenue_adj	-0.376	0.610	0.695	0.997	0.334	0.671	0.193	-0.123	0.704	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	id	imdb_id	popularity	budget	revenue	original_title	cast	homepage	director	tagline	keywords	overview	runtime	genres	production_companies	release_date	vote_count	vote_average	release_year	budget_adj	revenue_adj
0	135397	tt0369610	32.985763	150000000	1513528810	Jurassic World	Chris Pratt\|Bryce Dallas Howard\|Irrfan Khan\|Vincent D'Onofrio\|Nick Robinson	http://www.jurassicworld.com/	Colin Trevorrow	The park is open.	monster\|dna\|tyrannosaurus rex\|velociraptor\|island	Twenty-two years after the events of Jurassic Park, Isla Nublar now features a fully functioning dinosaur theme park, Jurassic World, as originally envisioned by John Hammond.	124	Action\|Adventure\|Science Fiction\|Thriller	Universal Studios\|Amblin Entertainment\|Legendary Pictures\|Fuji Television Network\|Dentsu	6/9/15	5562	6.5	2015	1.379999e+08	1.392446e+09
1	76341	tt1392190	28.419936	150000000	378436354	Mad Max: Fury Road	Tom Hardy\|Charlize Theron\|Hugh Keays-Byrne\|Nicholas Hoult\|Josh Helman	http://www.madmaxmovie.com/	George Miller	What a Lovely Day.	future\|chase\|post-apocalyptic\|dystopia\|australia	An apocalyptic story set in the furthest reaches of our planet, in a stark desert landscape where humanity is broken, and most everyone is crazed fighting for the necessities of life. Within this world exist two rebels on the run who just might be able to restore order. There's Max, a man of action and a man of few words, who seeks peace of mind following the loss of his wife and child in the aftermath of the chaos. And Furiosa, a woman of action and a woman who believes her path to survival may be achieved if she can make it across the desert back to her childhood homeland.	120	Action\|Adventure\|Science Fiction\|Thriller	Village Roadshow Pictures\|Kennedy Miller Productions	5/13/15	6185	7.1	2015	1.379999e+08	3.481613e+08
2	262500	tt2908446	13.112507	110000000	295238201	Insurgent	Shailene Woodley\|Theo James\|Kate Winslet\|Ansel Elgort\|Miles Teller	http://www.thedivergentseries.movie/#insurgent	Robert Schwentke	One Choice Can Destroy You	based on novel\|revolution\|dystopia\|sequel\|dystopic future	Beatrice Prior must confront her inner demons and continue her fight against a powerful alliance which threatens to tear her society apart.	119	Adventure\|Science Fiction\|Thriller	Summit Entertainment\|Mandeville Films\|Red Wagon Entertainment\|NeoReel	3/18/15	2480	6.3	2015	1.012000e+08	2.716190e+08
3	140607	tt2488496	11.173104	200000000	2068178225	Star Wars: The Force Awakens	Harrison Ford\|Mark Hamill\|Carrie Fisher\|Adam Driver\|Daisy Ridley	http://www.starwars.com/films/star-wars-episode-vii	J.J. Abrams	Every generation has a story.	android\|spaceship\|jedi\|space opera\|3d	Thirty years after defeating the Galactic Empire, Han Solo and his allies face a new threat from the evil Kylo Ren and his army of Stormtroopers.	136	Action\|Adventure\|Science Fiction\|Fantasy	Lucasfilm\|Truenorth Productions\|Bad Robot	12/15/15	5292	7.5	2015	1.839999e+08	1.902723e+09
4	168259	tt2820852	9.335014	190000000	1506249360	Furious 7	Vin Diesel\|Paul Walker\|Jason Statham\|Michelle Rodriguez\|Dwayne Johnson	http://www.furious7.com/	James Wan	Vengeance Hits Home	car race\|speed\|revenge\|suspense\|car	Deckard Shaw seeks revenge against Dominic Toretto and his family for his comatose brother.	137	Action\|Crime\|Thriller	Universal Pictures\|Original Film\|Media Rights Capital\|Dentsu\|One Race Films	4/1/15	2947	7.3	2015	1.747999e+08	1.385749e+09
5	281957	tt1663202	9.110700	135000000	532950503	The Revenant	Leonardo DiCaprio\|Tom Hardy\|Will Poulter\|Domhnall Gleeson\|Paul Anderson	http://www.foxmovies.com/movies/the-revenant	Alejandro GonzÃ¡lez IÃ±Ã¡rritu	(n. One who has returned, as if from the dead.)	father-son relationship\|rape\|based on novel\|mountains\|winter	In the 1820s, a frontiersman, Hugh Glass, sets out on a path of vengeance against those who left him for dead after a bear mauling.	156	Western\|Drama\|Adventure\|Thriller	Regency Enterprises\|Appian Way\|CatchPlay\|Anonymous Content\|New Regency Pictures	12/25/15	3929	7.2	2015	1.241999e+08	4.903142e+08
6	87101	tt1340138	8.654359	155000000	440603537	Terminator Genisys	Arnold Schwarzenegger\|Jason Clarke\|Emilia Clarke\|Jai Courtney\|J.K. Simmons	http://www.terminatormovie.com/	Alan Taylor	Reset the future	saving the world\|artificial intelligence\|cyborg\|killer robot\|future	The year is 2029. John Connor, leader of the resistance continues the war against the machines. At the Los Angeles offensive, John's fears of the unknown future begin to emerge when TECOM spies reveal a new plot by SkyNet that will attack him from both fronts; past and future, and will ultimately change warfare forever.	125	Science Fiction\|Action\|Thriller\|Adventure	Paramount Pictures\|Skydance Productions	6/23/15	2598	5.8	2015	1.425999e+08	4.053551e+08
7	286217	tt3659388	7.667400	108000000	595380321	The Martian	Matt Damon\|Jessica Chastain\|Kristen Wiig\|Jeff Daniels\|Michael PeÃ±a	http://www.foxmovies.com/movies/the-martian	Ridley Scott	Bring Him Home	based on novel\|mars\|nasa\|isolation\|botanist	During a manned mission to Mars, Astronaut Mark Watney is presumed dead after a fierce storm and left behind by his crew. But Watney has survived and finds himself stranded and alone on the hostile planet. With only meager supplies, he must draw upon his ingenuity, wit and spirit to subsist and find a way to signal to Earth that he is alive.	141	Drama\|Adventure\|Science Fiction	Twentieth Century Fox Film Corporation\|Scott Free Productions\|Mid Atlantic Films\|International Traders\|TSG Entertainment	9/30/15	4572	7.6	2015	9.935996e+07	5.477497e+08
8	211672	tt2293640	7.404165	74000000	1156730962	Minions	Sandra Bullock\|Jon Hamm\|Michael Keaton\|Allison Janney\|Steve Coogan	http://www.minionsmovie.com/	Kyle Balda\|Pierre Coffin	Before Gru, they had a history of bad bosses	assistant\|aftercreditsstinger\|duringcreditsstinger\|evil mastermind\|minions	Minions Stuart, Kevin and Bob are recruited by Scarlet Overkill, a super-villain who, alongside her inventor husband Herb, hatches a plot to take over the world.	91	Family\|Animation\|Adventure\|Comedy	Universal Pictures\|Illumination Entertainment	6/17/15	2893	6.5	2015	6.807997e+07	1.064192e+09
9	150540	tt2096673	6.326804	175000000	853708609	Inside Out	Amy Poehler\|Phyllis Smith\|Richard Kind\|Bill Hader\|Lewis Black	http://movies.disney.com/inside-out	Pete Docter	Meet the little voices inside your head.	dream\|cartoon\|imaginary friend\|animation\|kid	Growing up can be a bumpy road, and it's no exception for Riley, who is uprooted from her Midwest life when her father starts a new job in San Francisco. Like all of us, Riley is guided by her emotions - Joy, Fear, Anger, Disgust and Sadness. The emotions live in Headquarters, the control center inside Riley's mind, where they help advise her through everyday life. As Riley and her emotions struggle to adjust to a new life in San Francisco, turmoil ensues in Headquarters. Although Joy, Riley's main and most important emotion, tries to keep things positive, the emotions conflict on how best to navigate a new city, house and school.	94	Comedy\|Animation\|Family	Walt Disney Pictures\|Pixar Animation Studios\|Walt Disney Studios Motion Pictures	6/9/15	3935	8.0	2015	1.609999e+08	7.854116e+08

	id	imdb_id	popularity	budget	original_title	cast	homepage	director	tagline	keywords	overview	runtime	genres	production_companies	release_date	vote_count	vote_average	release_year	budget_adj
10856	20277	tt0061135	0.140934	0	The Ugly Dachshund	Dean Jones\|Suzanne Pleshette\|Charles Ruggles\|Kelly Thordsen\|Parley Baer	NaN	Norman Tokar	A HAPPY HONEYMOON GOES TO THE DOGS!...When a Great Dane disguised as a Dachsie crashes the party!	great dane\|dachshund	The Garrisons (Dean Jones and Suzanne Pleshette) are the "proud parents" of three adorable dachshund pups -- and one overgrown Great Dane named Brutus, who nevertheless thinks of himself as a dainty dachsie. His identity crisis results in an uproarious series of household crises that reduce the Garrisons' house to shambles -- and viewers to howls of laughter!	93	Comedy\|Drama\|Family	Walt Disney Pictures	2/16/66	14	5.7	1966	0.000000
10857	5921	tt0060748	0.131378	0	Nevada Smith	Steve McQueen\|Karl Malden\|Brian Keith\|Arthur Kennedy\|Suzanne Pleshette	NaN	Henry Hathaway	Some called him savage- and some called him saint... some felt his hate- and one found his love... and three had to die...	repayment\|revenge\|native american\|wild west\|half breed	Nevada Smith is the young son of an Indian mother and white father. When his father is killed by three men over gold, Nevada sets out to find them and kill them. The boy is taken in by a gun merchant. The gun merchant shows him how to shoot and to shoot on time and correct.	128	Action\|Western	Paramount Pictures\|Solar Productions\|Embassy Pictures	6/10/66	10	5.9	1966	0.000000
10858	31918	tt0060921	0.317824	0	The Russians Are Coming, The Russians Are Coming	Carl Reiner\|Eva Marie Saint\|Alan Arkin\|Brian Keith\|Paul Ford	NaN	Norman Jewison	IT'S A PLOT! ...to make the world die laughing!!	cold war\|russian\|new england	Without hostile intent, a Soviet sub runs aground off New England. Men are sent for a boat, but many villagers go into a tizzy, risking bloodshed.	126	Comedy\|War	The Mirisch Corporation	5/25/66	11	5.5	1966	0.000000
10859	20620	tt0060955	0.089072	0	Seconds	Rock Hudson\|Salome Jens\|John Randolph\|Will Geer\|Jeff Corey	NaN	John Frankenheimer	NaN	plastic surgery\|suspense	A secret organisation offers wealthy people a second chance at life. The customer picks out someone they want to be and the organisation surgically alters the customer to look like the intended person, stages the customer's death, gets rid of the intended person and the customer takes on a new life.	100	Mystery\|Science Fiction\|Thriller\|Drama	Gibraltar Productions\|Joel Productions\|John Frankenheimer Productions Inc.	10/5/66	22	6.6	1966	0.000000
10860	5060	tt0060214	0.087034	0	Carry On Screaming!	Kenneth Williams\|Jim Dale\|Harry H. Corbett\|Joan Sims\|Charles Hawtrey	NaN	Gerald Thomas	Carry On Screaming with the Hilarious CARRY ON Gang!!	monster\|carry on\|horror spoof	The sinister Dr Watt has an evil scheme going. He's kidnapping beautiful young women and turning them into mannequins to sell to local stores. Fortunately for Dr Watt, Detective-Sergeant Bung is on the case, and he doesn't have a clue! In this send up of the Hammer Horror movies, there are send-ups of all the horror greats from Frankenstein to Dr Jekyl and Mr Hyde.	87	Comedy	Peter Rogers Productions\|Anglo-Amalgamated Film Distributors	5/20/66	13	7.0	1966	0.000000
10861	21	tt0060371	0.080598	0	The Endless Summer	Michael Hynson\|Robert August\|Lord 'Tally Ho' Blears\|Bruce Brown\|Chip Fitzwater	NaN	Bruce Brown	NaN	surfer\|surfboard\|surfing	The Endless Summer, by Bruce Brown, is one of the first and most influential surf movies of all times. The film documents American surfers Mike Hynson and Robert August as they travel the world during Californiaâ€™s winter (which back in 1965 was off-season for surfing) in search of the perfect wave and an endless summer.	95	Documentary	Bruce Brown Films	6/15/66	11	7.4	1966	0.000000
10862	20379	tt0060472	0.065543	0	Grand Prix	James Garner\|Eva Marie Saint\|Yves Montand\|ToshirÅ Mifune\|Brian Bedford	NaN	John Frankenheimer	Cinerama sweeps YOU into a drama of speed and spectacle!	car race\|racing\|formula 1	Grand Prix driver Pete Aron is fired by his team after a crash at Monaco that injures his teammate, Scott Stoddard. While Stoddard struggles to recover, Aron begins to drive for another team, and starts dating Stoddard's wife.	176	Action\|Adventure\|Drama	Cherokee Productions\|Joel Productions\|Douglas & Lewis Productions	12/21/66	20	5.7	1966	0.000000
10863	39768	tt0060161	0.065141	0	Beregis Avtomobilya	Innokentiy Smoktunovskiy\|Oleg Efremov\|Georgi Zhzhyonov\|Olga Aroseva\|Lyubov Dobrzhanskaya	NaN	Eldar Ryazanov	NaN	car\|trolley\|stealing car	An insurance agent who moonlights as a carthief steals cars various crooks and never from the common people. He sells the stolen cars and gives the money to charity. His best friend, a cop, is assigned to bring in this modern robin hood.	94	Mystery\|Comedy	Mosfilm	1/1/66	11	6.5	1966	0.000000
10864	21449	tt0061177	0.064317	0	What's Up, Tiger Lily?	Tatsuya Mihashi\|Akiko Wakabayashi\|Mie Hama\|John Sebastian\|Tadao Nakamaru	NaN	Woody Allen	WOODY ALLEN STRIKES BACK!	spoof	In comic Woody Allen's film debut, he took the Japanese action film "International Secret Police: Key of Keys" and re-dubbed it, changing the plot to make it revolve around a secret egg salad recipe.	80	Action\|Comedy	Benedict Pictures Corp.	11/2/66	22	5.4	1966	0.000000
10865	22293	tt0060666	0.035919	19000	Manos: The Hands of Fate	Harold P. Warren\|Tom Neyman\|John Reynolds\|Diane Mahree\|Stephanie Nielson	NaN	Harold P. Warren	It's Shocking! It's Beyond Your Imagination!	fire\|gun\|drive\|sacrifice\|flashlight	A family gets lost on the road and stumbles upon a hidden, underground, devil-worshiping cult led by the fearsome Master and his servant Torgo.	74	Horror	Norm-Iris	11/15/66	15	1.5	1966	127642.279154

Most frequently occurring

	id	imdb_id	popularity	budget	revenue	original_title	cast	homepage	director	tagline	keywords	overview	runtime	genres	production_companies	release_date	vote_count	vote_average	release_year	budget_adj	revenue_adj	# duplicates
0	42194	tt0411951	0.59643	30000000	967000	TEKKEN	Jon Foo\|Kelly Overton\|Cary-Hiroyuki Tagawa\|Ian Anthony Dale\|Luke Goss	NaN	Dwight H. Little	Survival is no game	martial arts\|dystopia\|based on video game\|martial arts tournament	In the year of 2039, after World Wars destroy much of the civilization as we know it, territories are no longer run by governments, but by corporations; the mightiest of which is the Mishima Zaibatsu. In order to placate the seething masses of this dystopia, Mishima sponsors Tekken, a tournament in which fighters battle until only one is left standing.	92	Crime\|Drama\|Action\|Thriller\|Science Fiction	Namco\|Light Song Films	3/20/10	110	5.0	2010	30000000.0	967000.0	2

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